code: def testValuesAreCorrect(self):
      original_kernel = parabolic.Parabolic()
      exponential_kernel = pointwise_exponential.PointwiseExponential(
          original_kernel
      )
      x1 = [[1.0]]
      x2 = [[2.0]]
      original_output = original_kernel.apply(x1, x2)
      exponential_output = exponential_kernel.apply(x1, x2)
  
      self.assertAllEqual(
          self.evaluate(tf.math.exp(original_output)),
          self.evaluate(exponential_output),
      )
  
file_path: probability/tensorflow_probability/python/math/psd_kernels/pointwise_exponential_test.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.psd_kernels import matern
  from tensorflow_probability.python.math.psd_kernels import parabolic
  from tensorflow_probability.python.math.psd_kernels import pointwise_exponential
label_desc: Use image node_id 1 for calling the PointwiseExponentialTest obj's underlying member method code with example usage: obj.testValuesAreCorrect() without return types